Abstract
Classifiers are characterized by many measures, e.g., precision, recall, accuracy, sensitivity, specificity, receiver operating curve (ROC), fall-out, class imbalance, etc. Some measures are synonymous, e.g., sensitivity and recall. The profusion of terms causes some difficulties.
This disclosure leverages the observation that most classifier performance metrics derive from just four elemental quantities, e.g., true positives, false positives, true negatives, and false negatives. Disclosed is a simple graphic that displays the four elemental quantities and enables quick, visual, estimation of the remaining measures of classifier performance.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Levy, Lori and Burge, John, "Visualizing classifier performance", Technical Disclosure Commons, (December 10, 2018)
https://www.tdcommons.org/dpubs_series/1762